Hacker Newsnew | past | comments | ask | show | jobs | submit | sbassi's commentslogin

A useful data to know about this setup is how many tokens/sec generates.

It’s started in TFA

You can't expect someone to read 4 paragraphs into an article before commenting

@grok is this true?

Sorry, @grok is offline after declaring himself MechaMussolini earlier today

It's a trade off.


For local LLM there are Ollama and LM Studio. How is this different?


This seems like a great question to ask an offline llm that runs on your mobile device. Does ollama and Lm studio run on your mobile device?


I was at an antique shop in Alameda about to buy a pulp sci-fi book. It was just a couple of bucks, nothing expensive. But the card reader wasn't accepting my Apple Pay. Another guy shopping there offered to pay for me. I told him I could Venmo or PayPal him the money, but he wouldn't take it. It wasn't a big deal in terms of money, but he didn't have to do that


My brother told me, many years ago "if you can do something nice for someone for a buck, you probably oughta just do it."

I didn't learn much from him, but that was a good one.


where do you live?


it depends of the sample. usually you have at least 1200, with a guaranteed of at least 800, so maybe he could ask for a refund.


yes, the difference here is that the $1000 tag is "at-scale price". You reach that price point by running multiple sequencing with a set of reactive.


Which data uses for training?



I think he mentioned somewhere he used fineweb (I assume this one https://huggingface.co/datasets/HuggingFaceFW/fineweb)


Shameless plug: made a parquet conversion utility: pip install parquetconv

It is a command line wrapper to generate a Pandas SF and save it as CSV (or the other way around)


"...the investigator thought that Tesla was being collaborative with the investigation at the time..."

So this is also a failure of the investigator.


No its not. Investigators will try to obtain data willingly unless they are made to believe that the party is not acting in good faith.


Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: